Xiaolu Long
Impact in
-
- CAR-T cell therapy research
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Oncology 12
- CAR-T cell therapy research 11
- Co-authors
- Jianfeng Zhou (12 shared papers)Liting Chen (12 shared papers)Chunrui Li (10 shared papers)Min Xiao (7 shared papers)Caixia Chen (4 shared papers)Jia Gu (6 shared papers)Xiaoxi Zhou (3 shared papers)Yang Cao (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Frontiers in Oncology (2 papers)Journal of Molecular Diagnostics (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Xiaolu Long
24 papers receiving 558 citations
Peers
Comparison fields: 5 of 82
- Oncology 188
- Infectious Diseases 125
- Neurology 81
- Clinical Biochemistry 36
- Hematology 59
Countries citing papers authored by Xiaolu Long
This map shows the geographic impact of Xiaolu Long's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaolu Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolu Long more than expected).
Fields of papers citing papers by Xiaolu Long
This network shows the impact of papers produced by Xiaolu Long. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaolu Long. The network helps show where Xiaolu Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolu Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 199 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2020 | 31 | |
| 6 | 2010 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2023 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 4 |
About Xiaolu Long
Xiaolu Long is a scholar working on Oncology, Hematology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 25 papers that have together received 566 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Virus-based gene therapy research (5 papers), COVID-19 Clinical Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Lymphoma Diagnosis and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (188 citations), Infectious Diseases (125 citations), Neurology (81 citations), Clinical Biochemistry (36 citations) and Hematology (59 citations). Xiaolu Long has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Jianfeng Zhou, Liting Chen, Chunrui Li, Min Xiao, Caixia Chen, Jia Gu, Xiaoxi Zhou, Yang Cao, Tongjuan Li and Yaoyao Lou. Their work appears in journals such as Molecular Therapy, Frontiers in Oncology, Journal of Molecular Diagnostics, Journal for ImmunoTherapy of Cancer and Signal Transduction and Targeted Therapy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.